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Azure Data Factory

Categories: Azure Data Factory
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About Course

Course Description: Welcome to the world of efficient data integration and orchestration with our comprehensive course, “Mastering Azure Data Factory.” This course is meticulously designed to equip you with the skills needed to navigate the complexities of Azure Data Factory, a powerful cloud-based ETL (Extract, Transform, Load) service. Whether you’re an aspiring data engineer, database professional, or IT enthusiast seeking to streamline data workflows, this course offers a dynamic learning experience that covers the essentials of Azure Data Factory. Dive into the intricacies of data movement, transformation, and orchestration using Azure Data Factory, and unlock the potential to create robust, automated data pipelines.

What You Will Learn:

  • Introduction to Azure Data Factory: Understand the core concepts and architecture of Azure Data Factory for seamless data integration.
  • Data Movement and Transformation: Learn how to design and create data pipelines that efficiently move and transform data across various sources and destinations.
  • Data Orchestration: Explore the orchestration of complex workflows, enabling the scheduling, coordination, and monitoring of data processes.
  • Integration with Other Azure Services: Discover how to integrate Azure Data Factory with other Azure services to enhance data processing and analysis.
  • Error Handling and Monitoring: Master techniques for handling errors, tracking pipeline execution, and monitoring data pipeline performance.

Requirements: To fully engage with and benefit from the Mastering Azure Data Factory course, participants should possess a basic understanding of data concepts and cloud computing fundamentals. Familiarity with databases and SQL would be advantageous. No prior experience with Azure Data Factory is required, as this course starts from the fundamentals. Access to an Azure account and a computer with internet connectivity is essential to access the Azure portal and engage with course materials.

Materials Provided: Enrolling in the Mastering Azure Data Factory course grants you access to a comprehensive range of resources:

  • Engaging video lectures and tutorials led by industry experts, guiding you through each module of the course.
  • Practical hands-on exercises that mirror real-world scenarios, allowing you to apply theoretical concepts in practical data integration situations.
  • Downloadable resources, including code snippets, documentation, and reference materials to reinforce your learning journey.
  • Interaction with a supportive online community where you can connect with instructors and fellow learners, seeking guidance and exchanging insights.

Targeted Audience: The Mastering Azure Data Factory course is tailored for a diverse range of individuals:

  • Data Engineers: Those looking to enhance their data integration and ETL skills using Azure Data Factory to create efficient data pipelines.
  • Database Administrators: Professionals seeking to streamline data workflows, automate processes, and manage data movement.
  • IT Enthusiasts: Individuals interested in expanding their cloud computing skill set with a focus on data integration and orchestration.
  • Business Analysts: Decision-makers aiming to understand the capabilities of Azure Data Factory for efficient data processing and analysis.

Elevate your data integration and ETL expertise with the comprehensive Mastering Azure Data Factory course. Whether you’re aiming to advance your career, streamline data workflows, or broaden your skill set, this course provides a comprehensive platform to master Azure Data Factory and unlock the potential of automated data pipelines.

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What Will You Learn?

  • Introduction to Azure Data Factory: Understand the core concepts and architecture of Azure Data Factory for seamless data integration.
  • Data Movement and Transformation: Learn how to design and create data pipelines that efficiently move and transform data across various sources and destinations.
  • Data Orchestration: Explore the orchestration of complex workflows, enabling the scheduling, coordination, and monitoring of data processes.
  • Integration with Other Azure Services: Discover how to integrate Azure Data Factory with other Azure services to enhance data processing and analysis.
  • Error Handling and Monitoring: Master techniques for handling errors, tracking pipeline execution, and monitoring data pipeline performance.

Course Content

Introduction

Overviews

Environment Set-Up

Data Ingestion From Azure Blob

Data Ingestion From HTTP

Data Flows – Cases And Deaths Data Transformation

Data Flows – Hospital Admission Data Transformation

Prepare Data For HDInsight And DataBrick

HDInsight Activity

DataBrick Activity

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